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All Journal Journal of Computers and Digital Business Jurnal Media Teknik Elektro dan Komputer
Aida, Maghfira
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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SISTEM APLIKASI CUTI KARYAWAN BERBASIS WEB PADA DINAS PENANAMAN MODAL DAN PELAYANAN TERPADU SATU SATU PINTU KOTA MEDAN Sinaga, Yulia Alfi; Aida, Maghfira
Jurnal Media Teknik Elektro dan Komputer Vol 2 No 1 (2025): Metrokom : Jurnal Media Teknik Elektro dan Komputer
Publisher : Yayasan Pendidikan Al-Yasiriyah Bersaudara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65371/metrokom.v2i1.100

Abstract

Agencies must effectively manage employee leave management as one of their important responsibilities. Currently, many agencies, including the Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPMPTSP) Kota Medan, still use manual methods in handling employee leave applications, namely by manually creating leave letters using templates and submitting them to the Head of the Personnel Sub-Division for approval. This manual process is time-consuming, prone to errors, and makes it difficult to manage leave data. To overcome this problem, a web-based employee-leave application system at DPMPTSP Medan uses the PHP programming language and MySQL database. The design of this website involves several stages, including interviews, data collection, observation, and data analysis. The design of the employee leave website is then carried out by analyzing and designing each component using UML. This system is designed to simplify the leave application process, provide easier access to employees, and minimize administrative errors. The results of this study indicate that the developed system has succeeded in increasing the efficiency of the leave application process. Functional and security tests conducted showed that the application functions according to specifications and is able to maintain data integrity. This system makes it easier for employees to apply for leave because it can be done anywhere and allows the personnel department to verify and approve applications more quickly and accurately.
Applying Random Forest Algorithm for Phishing URL Identification Kautsar, Afthar; Aida, Maghfira; Yulistia , Anita
Journal of Computers and Digital Business Vol. 4 No. 3 (2025)
Publisher : PT. Delitekno Media Madiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v4i3.782

Abstract

Phishing attacks continue to be one of the most pervasive cybersecurity threats, particularly through malicious URLs designed to mimic legitimate websites and steal sensitive user information. To address this challenge, this study employs the Random Forest algorithm for automated phishing URL detection using a publicly available dataset from Kaggle. The dataset contains diverse structural, technical, and popularity-based features that capture behavioral and lexical characteristics of each URL. Following data preprocessing and an 80/20 train–test split, the Random Forest classifier achieved strong predictive performance, attaining an accuracy of 94.94%, a precision of 95.19%, and a recall of 96.94%. The model further demonstrated robust classification capability with an F1-score of 96.06% and an ROC AUC value of 0.985, indicating excellent discrimination between phishing and legitimate URLs. Feature importance analysis shows that factors such as the URL’s presence in Google’s index, page rank metrics, and specific structural patterns significantly influence prediction outcomes. Additionally, performance visualizations including ROC and Precision–Recall curves reinforce the model’s reliability and stability. Overall, the findings suggest that Random Forest provides an effective and efficient solution for phishing URL detection, offering promising potential for integration into real-world cybersecurity systems.
Co-Authors Kautsar, Afthar Sinaga, Yulia Alfi Yulistia , Anita